
#1 AI World Generator | Real-Time Interactive Worlds
用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站
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用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

AI 60 秒内生成品牌化提案、发票和专业文档 PDF。
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

在你的网站上训练AI聊天机器人以回答访客问题并捕获线索。
@pmxgrowth · X
Built after taking my own site from 2% to 7% lead conversion. AI agent that answers first, captures the lead once it's been useful.

快速从网站创建 AI 员工,24/7 处理聊天、来电、邮件和预订线索。
@Nathaniel148600 · X
BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.



使用AI自动分类邮件并生成智能回复。
@HarshKharw26262 · X
Just shipped SortMail for the @meshapi_ai #MeshHackathon! An AI-powered Gmail inbox assistant that automatically classifies emails using GPT-4o. Live: GitHub: #MeshHackathon @meshapi_ai #BuildInPublic #FullStack #WebDev #OpenAI

与能自主操控计算机的AI助手互动完成任务。
stan_kirdey · HN
Clark – AI assistant with own computer

用自然语言问题查询电子表格和数据集,生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

输入主题,AI在一分钟内生成完整的纪录片视频。
pw · HN
Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running

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